Smart  Agri-­‐Food:

The  Future  Internet  in  the  Agri-­‐Food  Supply  Chain

Christopher  Brewster  and  Liz  YorkAston  Business  School

40  %  of  the  EU’s  land  area  being  farmed  (Eurostat  2010)Agriculture  has  a  very  important  impact  on  the  natural  environment

The  food  and  drink  industry  is  represenEng  13%  of  EU  manufacturing  sector  turnover  (CIAA  2010,  data  2007)

The  EU  is  the  world’s  largest  food  and  drink  exporter  with  a  share  of  EU  exports  to  world  markets  of  17.5%  in  2008  (CIAA  2010)

Share  of  agri-­‐food  logisEcs  in  the  EU  road  transport  is  about  20%  (Eurostat/TLN  2008,  data  2007)

11%  share  of  agriculture-­‐related  products  in  total  export  value  of  EU  countries  in  2009  (Eurostat  Comext  trade  data  /  Eurostat)

-­‐  Increase  of  world  populaEon-­‐  To  reduce  the  effects  of  climate  

change-­‐  Growing  welfare  in  emerging  

economies  -­‐  Shi\  towards  a  bio-­‐based  

economy  -­‐  CompeEng  claims  on  land,  fresh  water  and  labour

-­‐  Etc.

AGRIFOOD  CLUSTER

• AGRI-­‐FOOD  

DOMAIN

CHALLENGE

•CHALLENGES  TO  BE  MET

•Introduc;on

The  SMARTAGRIFOOD  project  aims  to:

• Boost  the  applicaEon  and  use  of  future  internet  ICTs  in  Agri-­‐Food

• Increase  the  compeEveness  and  sustainability  of  Agri-­‐Food  

• Affect  a  huge  number  of    Agri-­‐Food  SMEs  throughout  Europe

Current  Challenges:  Sector-­‐specific  characterisEcs  heavily  impact  logisEcs

• High  supply  uncertainty  due  to  natural  producEon– Unpredictable  variaEons  in  quality  and  quanEty  of  supply– Flexibility  in  logisEc  processes  and  planning  expected– Early  warning  and  pro-­‐acEve  control  is  required

• High  perishability– Cold  chains:  temperature-­‐condiEoned  transportaEon  and  storage  – Very  short  order-­‐to-­‐delivery  lead-­‐Emes

• Seasonable  growing  requires  global  sourcing  to  ensure  year-­‐round  availability

• High  demands  on  food  safety,  quality  and  (environmental)  legislaEon– Ability  to  trace  producEon  informaEon  of  products  in  transit

• High  tracking  and  tracing  and  logisEc  planning  complexiEes– ConEnuous  and  discrete  product  flows– Diverging  and  converging  processes  and  by-­‐products

• AddiEonal  phytosanitary  and  veterinary  import  inspecEons

• Many  SMEs  –  importance  of  collecEon  and  allocaEon  mechanisms

The  complexity  of  Agri-­‐Food  Supply  Chains  -­‐  for  example  in  Meat

Illustra(ve  example  of  a  meat  supply  chain  (source:  GS1)  

Agri-­‐Food:  ±  20%  share  in  the  EU  road  transport    (Eurostat/TLN  2008)

Traceable  Item  Source

Traceable  Item  Recipient

Traceable  Item  CreatorTraceable  Item  Source

Traceable  Item  CreatorTraceable  Item  Source

Traceable  Item  CreatorTraceable  Item  RecipientTraceable  Item  Source

Traceable  Item  Source

Traceable  Item  Recipient

Traceable  Item  CreatorTraceable  Item  Recipient

animal  transport

slaughtering/deboning

cuJng/  processing

storing/  consignment/wholesaler

retailer

Ingredientsand  addiKves

Packagingmaterial

animal  farmingbreeding  &  faPening

veterinarianpharmaceuKcals

animal  feed

“raw  material”

logisKcs

Future  Internet

• Aims  to  overcome  limitaEons  of  the  current  internet,  including:– a  lack  of  data  integrity,  reliability,  provenance  and  trust

– a  lack  of  data  integraEon  and  federated  storage  soluEons

– lack  of  flexibility  and  adapEve  control

– segmentaEon  of  data  and  control

• “Developing  the  Future  Internet”  to  combine  several  trends  in  internet  development  into  an  integrated  approach– the  on-­‐going  industrializaEon  of  IT

• cloud  compuEng• open  service  delivery  plahorms

– new  wireless  networking  technologies  and  the  deployment  of  fibre

– the  breakthrough  of  the  Internet  of  Things

FI-PPP programme approach

• Industry-­‐led

• CreaEng  internet  innovaEon

• User-­‐driven

• Integrated  programme  noEon

• Overall  FI-­‐PPP  budget:  – 300  Million  Euro  EC  contribuEon

6

Objec;ves  of  SmartAgriFood

Boost  the  applicaEon  &  use  of  future  internet  ICTs  in  the  agri-­‐food  sector  by:

• idenEfying  and  describing  the  technical,  funcEonal  and  non-­‐funcEonal  FI-­‐specificaKons  – for  experimentaEon  in  smart  agri-­‐food  producEon  as  a  whole  system  and  

– in  parEcular  for  smart  farming,  smart  agri-­‐logisEcs  and  smart  food  awareness

• idenEfying  and  developing  smart  agri-­‐food-­‐specific  capabiliKes  and  conceptual  prototypes:– demonstraEng  criEcal  technological  soluEons  including  feasibility,  

– to  further  develop  them  in  large  scale  experimentaEon  and  validaEon

• idenEfying  and  describing  exisEng  experimentaKon  structures  and  start  user  community  building,  

• resulEng  in  an  implementaEon  plan  for  the  next  phase.

3  Use  Case  Scenario’s:  from  Farm  to  Fork

WP200  Smart  Farming

• Smart  Farming   -­‐  sensors  and  traceability

concerns  first  the  use  of  sensors  and  monitoring,  decision  support  systems  and  precise  input  applicaEon  so  as  to  make  the  use  of  resources  more  efficient  in  food  producEon,  and  secondly  concerns  ways  to  improve  traceability  and  the  flow  of  data  along  the  food  supply  chain

WP300  Smart  Agri-­‐Logis;cs

• Smart  agri-­‐logisKcs   -­‐  real-­‐Eme  virtualizaEon,  connecEvity,  

logisEcs  intelligence

concerns  the  intelligent  matching  of  supply  and  demand  followed  by  smart  transport  and  logisEcs  of  agri-­‐food  products  by  eg.  tracking  of  food  products,  condiEoned  transport  using  sensors  and  control  systems,  remotely  controlled  early  warning  systems,  and  beler  predicEons  of  food  transportaEon  needs

WP400  Smart  Food  Awareness

• Smart  food  awareness   -­‐  transparency  of  data  and  knowledge  representaEon

concerns  enabling  the  consumer  with  relevant  informaEon  eg.  concerning  safety,  availability,  health,  environmental  impact,  and  animal  welfare,  to  make  informed  decision  and  to  make  the  acEviEes  carried  out  in  the  enEre  food  producEon  chain  transparent

010101010100101000111010101001010101001010001110101010010101010010100011

FutureInternet

010101010100101000111010101001010101001010001110101010010101010010100011

010101010100101000111010101001010101001010001110101010010101010010100011

Consor;um

• 21  beneficiaries  from  7  countries• Balanced  consorEum• Connected  to

– ETP  Food  for  Life    by  CBHU

– ETP  Manufuture,  subgroup  Agricultural  Engineering  and  Technology  (AET)  by  John  Deere

– ETP  EpoSS  by  VTT

– ICT-­‐agri  ERANET  by  TNO/Wageningen  University

– IERC  cluster  by  DLO/ATB

– Network  of  EHI  retail  insEtute  

– Local  industry  plahorms

– Local  governments

– Euro  Pool  System

  ResearchResearch Industry/              end-­‐usersIndustry/              end-­‐users

DLO-­‐WURATBTNOCENTMAATOSASIHWDUMTTKTBLNKUAUPMCampden  BHUAston  Uni.VTTOPEKEPEJohn  DeereWageningen  Uni.EHI  RetailGS1SGSBonPreu

Agri-­‐food

ICT Agri-­‐food

ICT

++ +    + ++    + ++    ++ +           ++       ++       ++++ +    ++ +       ++       ++         ++     ++    + ++         ++       ++ +++ +         ++       ++ +     ++ +     ++  

Conceptual  Prototypes  –  Focus  of  a  Smart  Agri-­‐logisEcs

CentralActor

Actor

Service provision

Product Flow

*DiscussionPartners

*

*Baas

Planten-­‐service

FloraHolland*

SupplyChain

SupplyChain

Aston’s  ContribuEon  to  the  Project

• SemanEc  Technologies  for  Supply  Chain  IntegraEon

• Social  Media  in  the  whole  supply  chain

• (also)  Lead  Work  Package  1  on  overall  harmonisaEon,  standardisaEon  and  integraEon  across  the  supply  chain

14

SemanEc  Technologies

• Aim  to  create  a  Web  of  Data

• Enable  inter-­‐operability  between  systems

• Enable  data  sharing  using  standards15

As of September 2011

MusicBrainz

(zitgist)

P20

Turismo de

Zaragoza

yovisto

Yahoo! Geo

Planet

YAGO

World Fact-book

El ViajeroTourism

WordNet (W3C)

WordNet (VUA)

VIVO UF

VIVO Indiana

VIVO Cornell

VIAF

URIBurner

Sussex Reading

Lists

Plymouth Reading

Lists

UniRef

UniProt

UMBEL

UK Post-codes

legislationdata.gov.uk

Uberblic

UB Mann-heim

TWC LOGD

Twarql

transportdata.gov.

uk

Traffic Scotland

theses.fr

Thesau-rus W

totl.net

Tele-graphis

TCMGeneDIT

TaxonConcept

Open Library (Talis)

tags2con delicious

t4gminfo

Swedish Open

Cultural Heritage

Surge Radio

Sudoc

STW

RAMEAU SH

statisticsdata.gov.

uk

St. Andrews Resource

Lists

ECS South-ampton EPrints

SSW Thesaur

us

SmartLink

Slideshare2RDF

semanticweb.org

SemanticTweet

Semantic XBRL

SWDog Food

Source Code Ecosystem Linked Data

US SEC (rdfabout)

Sears

Scotland Geo-

graphy

ScotlandPupils &Exams

Scholaro-meter

WordNet (RKB

Explorer)

Wiki

UN/LOCODE

Ulm

ECS (RKB

Explorer)

Roma

RISKS

RESEX

RAE2001

Pisa

OS

OAI

NSF

New-castle

LAASKISTI

JISC

IRIT

IEEE

IBM

Eurécom

ERA

ePrints dotAC

DEPLOY

DBLP (RKB

Explorer)

Crime Reports

UK

Course-ware

CORDIS (RKB

Explorer)CiteSeer

Budapest

ACM

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Revyu

researchdata.gov.

ukRen. Energy Genera-

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referencedata.gov.

uk

Recht-spraak.

nl

RDFohloh

Last.FM (rdfize)

RDF Book

Mashup

Rådata nå!

PSH

Product Types

Ontology

ProductDB

PBAC

Poké-pédia

patentsdata.go

v.uk

OxPoints

Ord-nance Survey

Openly Local

Open Library

OpenCyc

Open Corpo-rates

OpenCalais

OpenEI

Open Election

Data Project

OpenData

Thesau-rus

Ontos News Portal

OGOLOD

JanusAMP

Ocean Drilling Codices

New York

Times

NVD

ntnusc

NTU Resource

Lists

Norwe-gian

MeSH

NDL subjects

ndlna

myExperi-ment

Italian Museums

medu-cator

MARC Codes List

Man-chester Reading

Lists

Lotico

Weather Stations

London Gazette

LOIUS

Linked Open Colors

lobidResources

lobidOrgani-sations

LEM

LinkedMDB

LinkedLCCN

LinkedGeoData

LinkedCT

LinkedUser

FeedbackLOV

Linked Open

Numbers

LODE

Eurostat (OntologyCentral)

Linked EDGAR

(OntologyCentral)

Linked Crunch-

base

lingvoj

Lichfield Spen-ding

LIBRIS

Lexvo

LCSH

DBLP (L3S)

Linked Sensor Data (Kno.e.sis)

Klapp-stuhl-club

Good-win

Family

National Radio-activity

JP

Jamendo (DBtune)

Italian public

schools

ISTAT Immi-gration

iServe

IdRef Sudoc

NSZL Catalog

Hellenic PD

Hellenic FBD

PiedmontAccomo-dations

GovTrack

GovWILD

GoogleArt

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gnoss

GESIS

GeoWordNet

GeoSpecies

GeoNames

GeoLinkedData

GEMET

GTAA

STITCH

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Project Guten-berg

MediCare

Euro-stat

(FUB)

EURES

DrugBank

Disea-some

DBLP (FU

Berlin)

DailyMed

CORDIS(FUB)

Freebase

flickr wrappr

Fishes of Texas

Finnish Munici-palities

ChEMBL

FanHubz

EventMedia

EUTC Produc-

tions

Eurostat

Europeana

EUNIS

EU Insti-

tutions

ESD stan-dards

EARTh

Enipedia

Popula-tion (En-AKTing)

NHS(En-

AKTing) Mortality(En-

AKTing)

Energy (En-

AKTing)

Crime(En-

AKTing)

CO2 Emission

(En-AKTing)

EEA

SISVU

education.data.g

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ECS South-ampton

ECCO-TCP

GND

Didactalia

DDC Deutsche Bio-

graphie

datadcs

MusicBrainz

(DBTune)

Magna-tune

John Peel

(DBTune)

Classical (DB

Tune)

AudioScrobbler (DBTune)

Last.FM artists

(DBTune)

DBTropes

Portu-guese

DBpedia

dbpedia lite

Greek DBpedia

DBpedia

data-open-ac-uk

SMCJournals

Pokedex

Airports

NASA (Data Incu-bator)

MusicBrainz(Data

Incubator)

Moseley Folk

Metoffice Weather Forecasts

Discogs (Data

Incubator)

Climbing

data.gov.uk intervals

Data Gov.ie

databnf.fr

Cornetto

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Chronic-ling

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Chem2Bio2RDF

Calames

businessdata.gov.

uk

Bricklink

Brazilian Poli-

ticians

BNB

UniSTS

UniPathway

UniParc

Taxonomy

UniProt(Bio2RDF)

SGD

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PubMedPub

Chem

PRO-SITE

ProDom

Pfam

PDB

OMIMMGI

KEGG Reaction

KEGG Pathway

KEGG Glycan

KEGG Enzyme

KEGG Drug

KEGG Com-pound

InterPro

HomoloGene

HGNC

Gene Ontology

GeneID

Affy-metrix

bible ontology

BibBase

FTS

BBC Wildlife Finder

BBC Program

mes BBC Music

Alpine Ski

Austria

LOCAH

Amster-dam

Museum

AGROVOC

AEMET

US Census (rdfabout)

Media

Geographic

Publications

Government

Cross-domain

Life sciences

User-generated content

Why  SemanEc  Tech  in  Agri-­‐Food?

• Agri-­‐food  supply  chain  is  very  heterogeneous– many  actors

– many  different  types

– many  different  business  objecEves  and  models

• ICT  across  the  supply  chain  has  had  limited  success  -­‐  mostly  proprietary  soluEons

• SemanEc  Tech  provide  technologies  to  facilitate  data  sharing  (when  and  if  needed)

16

Analysing  Social  Media  in  the  Agri-­‐food  domain

• Much  SM  at  the  retail  end,  some  in  the  Agriculture  end,  very  lille  in  the  middle

• Great  potenEal  for  growth  -­‐  but  also  mishandling

17

Agriculture Logistic Retail

Public

18

THANK YOU

QUESTIONS?